Variance estimation for semiparametric regression models by local averaging
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Publication:1616704
DOI10.1007/s11749-017-0553-3zbMath1404.62044OpenAlexW2754294452MaRDI QIDQ1616704
Jingxin Zhao, Heng Peng, Tao Huang
Publication date: 7 November 2018
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-017-0553-3
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)
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Cites Work
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- A semiparametric multivariate partially linear model: a difference approach
- Error variance estimation via least squares for small sample nonparametric regression
- Bandwidth choice for nonparametric regression
- Variance function estimation in multivariate nonparametric regression with fixed design
- Variable bandwidth selection in varying-coefficient models
- Generalized likelihood ratio statistics and Wilks phenomenon
- Nonconcave penalized likelihood with a diverging number of parameters.
- A difference based approach to the semiparametric partial linear model
- Effect of mean on variance function estimation in nonparametric regression
- Variance estimation in nonparametric regression via the difference sequence method
- On variance estimation in nonparametric regression
- Estimating residual variance in nonparametric regression using least squares
- Residual variance and residual pattern in nonlinear regression
- Estimating the Variance In Nonparametric Regression—What is a Reasonable Choice?
- Efficient estimation of conditional variance functions in stochastic regression
- Asymptotic Statistics
- Estimating the error variance in nonparametric regression by a covariate-matched u-statistic
- Variance Estimation Using Refitted Cross-Validation in Ultrahigh Dimensional Regression
- Semilinear High-Dimensional Model for Normalization of Microarray Data
- Consistent Estimates Based on Partially Consistent Observations